Aries Labs

The tools we built because
the dashboard wasn't enough.

Our internal R&D division builds the tooling our strategists use every day — and writes up what we learn from tests, platform changes and the Google Ads API. None of it is for sale. All of it is included when you work with us.

The toolbox

Seven tools, one purpose: sharper decisions, faster.

Each tool exists because we hit a wall the standard interface couldn't get us past. The pattern is always the same: machines do the heavy lifting, a senior human makes the call.

Client-only tooling

Semantic Negatives Engine

Clusters millions of search terms by meaning, not wording, so whole intent families surface with their cost and conversion data attached.

  • 2M+ terms processed per account, re-run monthly
  • Negative lists generated for Search and PMax
  • Human review on every cluster before it ships

See it in action →

Client-only tooling

SKU Router

Automatically assigns every product in your catalog to the right Shopping or PMax segment — by performance, margin and stock — and reassigns it when the data changes.

  • Heroes, sidekicks and zombies treated differently, always
  • Margin and stock-depth signals built into segmentation
  • Products migrate between segments automatically as they earn it
Client-only tooling

Pulse

Around-the-clock account monitoring that alerts a human before you'd ever notice something's wrong.

  • Budget anomalies and spend spikes flagged in near real time
  • Feed disapprovals caught and triaged same day
  • Tracking breakage detected before it poisons your data
Client-only tooling

True-ROAS

A reconciliation dashboard that separates what the platform claims from what actually lands in your bank account.

  • Billed revenue vs. cash actually collected, side by side
  • Installment plans, refunds and failed payments accounted for
  • The number your CFO will accept — finally
Client-only tooling

Feed Forge

Keeps your product feed, page feeds and live catalog in lockstep, so campaigns never advertise yesterday's store.

  • Automated catalog sync with 100% URL validation
  • Title and attribute rules applied at scale, survive every sync
  • Out-of-stock handling before it burns a single click
Client-only tooling

Funnel X-Ray

Step-by-step funnel instrumentation that shows exactly where paid traffic dies — because sometimes the fix isn't in Google Ads at all.

  • Every funnel step measured, from click to cash
  • Found a 75% leak at a single checkout step once. We talk about it a lot.
  • Outputs a fix list for your dev team, not just a chart

See it in action →

Client-only tooling

Creative Batch

AI-assisted drafting of ad variants and asset combinations — every line reviewed and signed off by a human strategist before it goes anywhere near your account.

  • Variant generation grounded in your actual query data
  • Test hypotheses attached to every batch
  • Nothing ships without senior sign-off. Nothing.

// Not for sale, no demos, no SaaS waiting list. This tooling exists to make our client work better — it comes with the engagement.

Lab notes

What we tested, broke and learned.

Short engineering notes from inside real accounts: A/B tests with actual numbers, reactions to platform changes, and the occasional free snippet. No content-calendar filler — we publish when we have something to say.

A/B test May 2026

We pinned headlines in our RSAs. Ad Strength hated it. Revenue didn't.

Google's Ad Strength rating punishes pinned headlines, and the official guidance says to let the system mix assets freely. We tested it properly on an e-commerce account: identical RSAs, one with the value proposition pinned to position 1, one fully unpinned, rotated against the same queries for six weeks.

The pinned variant dropped from "Excellent" to "Average" Ad Strength the moment we saved it — and went on to deliver a meaningfully higher conversion rate, because the one message that actually converts was guaranteed to show. The unpinned variant won on CTR; clicks aren't the business model.

Verdict: Ad Strength is advice, not a performance metric. When one message demonstrably carries your offer, pin it and accept the scolding. Test on your own account — this will not be true for everyone.

Platform update April 2026

PMax channel reporting confirmed what we suspected about "performance".

Now that Performance Max breaks out spend and conversions by channel, we pulled the distribution across the e-commerce accounts we manage. The pattern was consistent: a large share of reported PMax conversions concentrated on Shopping and brand-adjacent Search — the demand that was largely coming anyway — while Display and video placements consumed budget with little incremental return.

This is exactly why we run brand exclusions and segment asset groups by margin instead of trusting the blended number. A 6x blended ROAS that's secretly 11x on Shopping and 0.8x on Display isn't a 6x campaign — it's two campaigns wearing a trench coat.

What we're doing about it: channel-level distribution is now a standing section in every monthly client report, and a budget conversation whenever Display share creeps past our threshold.

API & scripts March 2026

Free snippet: pull your search terms with GAQL, then n-gram them.

Most wasted spend hides in patterns, not individual queries. Step one is getting the raw terms out of the API — this GAQL query against search_term_view is all you need:

SELECT search_term_view.search_term, metrics.cost_micros, metrics.conversions, metrics.conversions_value FROM search_term_view WHERE segments.date DURING LAST_90_DAYS ORDER BY metrics.cost_micros DESC -- export, then split terms into 1/2/3-grams and aggregate cost -- vs. conversions per n-gram. The expensive zero-conversion -- n-grams are your negative keyword shortlist.

Aggregate cost and conversions per n-gram and sort by cost where conversions are zero: you'll find recurring words ("free", "manual", "jobs", a competitor name) that individually look harmless but collectively bleed budget. This is the manual version of what our Semantic Negatives Engine does with embeddings — and for accounts under a few hundred thousand terms, the manual version is plenty.

Why we give this away: if a snippet saves you money, you'll remember who handed it to you.

Measurement February 2026

Your European conversions didn't drop. Your measurement changed.

A pattern we keep seeing in audits: a business implements Consent Mode v2 properly, watches reported conversions dip, and concludes the campaigns broke. What actually happened: users who decline consent are no longer directly observed, and Google fills part of the gap with modeled conversions — which take time to ramp and never fully replace the observed count.

The campaigns are usually fine. The baseline moved. Comparing post-consent numbers to a pre-consent period is comparing two different measurement systems and calling the difference "performance".

The fix: annotate the implementation date, rebaseline from there, and check revenue in your back office against the same period — if the bank account didn't dip, your marketing didn't either. This is exactly the gap True-ROAS exists to close.

Put the lab to work

Every tool on this page runs on client accounts. Yours could be next.

The free audit is partly powered by this tooling — which is how a senior strategist can go deep on your account in 48 hours.

Get your free audit